ZhihanLee

PPO-based-Eco-Driving-for-Prius

The environment code for the paper 'Learning-based Eco-driving Strategy Design for Connected Power-split Hybrid Electric Vehicles at Signalized Corridors'

DDPG_Learning

A study code for HEVs eco-driving control

Constrained-SAC-PPO

A pytorch implementation of Constrained Reinforcement Learning Algorithm, including Constrained Soft Actor Critic (Soft Actor Critic Lagrangian) and Proximal Policy Optimization Lagrangian

Parking_version1

a simulation for AVs parking(only for vertical parking)

sac-plus

Soft Actor-Critic implementation with SOTA model-free extension (REDQ) and SOTA model-based extension (MBPO).

DDPG-LSTM-tf2-

My own implementation of Reinforcement Learning algorithms using Tensorflow 2.0

ElegantRL

Lightweight and scalable deep reinforcement learning using PyTorch. 🔥

mbpo

Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"

PPO_Lagrangian_PyTorch

Implementation of PPO Lagrangian in PyTorch

PyTorch-CPO

PyTorch implementation of Constrained Policy Optimization

RNN-RL-reference

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

ROSIntegration

Unreal Engine Plugin to enable ROS Support

WCSAC

YYDZ

丁真宇宙，一眼丁真合集，已有两千多张图片。The YYDZ (Yi Yan Ding Zhen / One Eye Ding Zhen) dataset.

motion-planner-reinforcement-learning

End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo

apollo

An open autonomous driving platform

Awesome-Motion-Control-Research

一份关于无人驾驶汽车的运动控制相关文章资源列表

chhRobotics_CPP

自动驾驶规划控制常用算法c++代码实现

PyAdvancedControl

Python codes for advanced control

safety-gymnasium

Safety-Gymnaisum is a highly scalable and customizable safe reinforcement learning environment library.

safety-starter-agents

Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.